Speech Recognition: From Microphones to Meaningful Text
Speech Recognition: From Microphones to Meaningful Text Speech recognition turns spoken language into written text. In practice, a system listens through a microphone, cleans the signal, and tries to guess the words you said. Modern systems mix signal processing, machine learning, and language understanding to do this quickly and with growing accuracy. In plain terms, the journey has three main stages: capture, interpretation, and output. The microphone picks up sound waves. The device or service removes noise and splits the sound into small frames. An acoustic model identifies phonetic patterns, a language model suggests likely word sequences, and a decoder selects the final text. The result is text that mirrors what was spoken, with mistakes that are easier to fix than ever before. ...